100 papers - avg viability 6.5
3D reconstruction technology is advancing rapidly, enabling the creation of detailed and realistic models from various data sources, including images and videos. Recent developments focus on improving accuracy and efficiency, addressing challenges such as occlusion and dynamic scenes. Techniques like collaborative explicit-implicit reconstruction and transformer frameworks for panoramic imagery are enhancing the capabilities of 3D modeling. These innovations are crucial for builders in fields such as gaming, virtual reality, and robotics, as they facilitate the development of more immersive and interactive experiences. By leveraging these advancements, builders can create more engaging applications that require high-fidelity 3D representations, ultimately driving innovation across multiple industries.
CEI-3D is a collaborative 3D reconstruction pipeline that enables realistic and fine-grained object editing with localized control.
Mango-GS offers a novel framework for high-fidelity 4D reconstruction of dynamic scenes with enhanced temporal consistency.
InstantHDR offers a fast, feed-forward solution for reconstructing high dynamic range 3D scenes from low dynamic range images.
AHOY reconstructs animatable 3D avatars from occluded YouTube videos using advanced Gaussian splatting techniques.
Articulat3D reconstructs high-fidelity digital twins from monocular videos using advanced geometric and motion constraints.
CHROMM offers a unified framework for real-time human-scene reconstruction from multi-view videos without preprocessing.
A promptable framework for multi-animal 3D reconstruction from single images, with a new dataset and state-of-the-art performance.
Leveling3D enhances 3D reconstruction by integrating geometry-aware generation for improved novel-view synthesis.
A simple fine-tuning strategy that adapts existing visual geometry models for accurate RGB-thermal 3D reconstruction, outperforming state-of-the-art even in challenging conditions.
MeMix is a plug-and-play module that enhances streaming 3D reconstruction by mitigating catastrophic forgetting without the need for fine-tuning.